CN115657469A - System, method, terminal, device and storage medium for preventing lifting from being out of control - Google Patents
System, method, terminal, device and storage medium for preventing lifting from being out of control Download PDFInfo
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- CN115657469A CN115657469A CN202211121225.3A CN202211121225A CN115657469A CN 115657469 A CN115657469 A CN 115657469A CN 202211121225 A CN202211121225 A CN 202211121225A CN 115657469 A CN115657469 A CN 115657469A
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention belongs to the field of mechanical control, and discloses a system, a method, a terminal, equipment and a storage medium for preventing lifting from being out of control, wherein the system comprises: the parameter acquisition module acquires parameter information required by the lift system for preventing the lift from being out of control through various sensors and monitors; the lifting mechanism protection module removes error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm; the lifting mechanism early warning module is used for analyzing and judging data of various parameter information acquired by the parameter acquisition module and transmitting control information to the control module for operation control; the display module displays various parameter information and data analysis results acquired by the parameter acquisition module; the operation module executes the control instruction of the control module to complete the operation; the storage module stores relevant parameter information. The invention has simple operation, monitors various running parameters of the elevator and the running condition of the speed reducer in real time, and improves the intelligent and informatization level of the elevator in use.
Description
Technical Field
The invention belongs to the field of mechanical control, and particularly relates to a system, a method, a terminal, equipment and a storage medium for preventing lifting from being out of control.
Background
The elevator is a multifunctional lifting mechanical device, and can be divided into a fixed type, a movable type, a guide rail type, a crank arm type, a scissor fork type, a chain type, a loading and unloading platform and the like.
The lifting system of the existing elevator is too complicated to operate and not practical enough, and can not monitor various operation parameters of the elevator and the operation condition of a speed reducer in real time, thereby possibly causing unnecessary loss.
Through the above analysis, the problems and defects of the prior art are as follows:
the lifting system of the existing elevator is too complicated to operate and not practical enough, and can not monitor various operation parameters of the elevator and the operation condition of the speed reducer in real time, thereby possibly causing unnecessary loss.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a system, a method, a terminal, equipment and a storage medium for preventing lifting from being out of control.
The invention is realized in such a way that a system for preventing lift runaway specifically comprises:
the device comprises a parameter acquisition module, a lifting mechanism protection module, a lifting mechanism early warning module, a control module, a display module, an operation module and a storage module;
the parameter acquisition module is used for acquiring parameter information required by the lift for preventing the lift from being out of control through various sensors and monitors;
the lifting mechanism protection module is connected with the parameter acquisition module and used for optimizing an original PLC program, increasing a protection program when the rotation is out of control and protecting the lifting mechanism; the method is also used for removing error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the acquisition time, the acquired data and the check value are transmitted to a lifting mechanism early warning module;
the operation module is connected with the control module and used for executing the control instruction of the control module to complete operation; the device is also used for realizing stable parking under a frequency conversion control mode when the lifting mechanism is out of control by adjusting the parameters of the frequency converter;
the lifting mechanism early warning module is connected with the lifting mechanism protection module and ensures that the direct current bus voltage threshold value does not exceed an alarm value when the lifting mechanism brakes through the increased energy consumption equipment when the rotation is out of control;
the device is also used for analyzing and judging data of various parameter information acquired by the parameter acquisition module and transmitting control information to the control module for operation control;
the control module is connected with the lifting mechanism early warning module, receives control information sent by the lifting mechanism early warning module and converts the control information into a control instruction to control the operation module;
and regulating and controlling abnormal operation data of the operation module as follows: setting an operation track, and training an AlexNet-Gra network by using the divided training sets; verifying whether the AlexNet-Gra network achieves the expected effect or not by using a test set; if not, modifying the operation track, and training again; if the trained network achieves the expected effect, inputting verification set data, reconstructing an optimization function, and obtaining a normal operation track; the modifying the operation track comprises: selecting an optimization function, and optimizing the weight and the deviation which need to be updated in the network; selecting a target function:
wherein L (m, m') represents the degree of model recovery,
which represents the degree of fit of the data,
representing weight attenuation regularization, lambda represents regularization parameters, and n represents the size of a training set; the regularization term does not include a bias value;
the optimization function is as follows:
wherein Θ represents a networkThe weights and offsets of the data to be updated; net (-) convolutional neural network representation from observed data d to predicted density model m pred A mapping between; l is the MSE loss function;
the display module is connected with the parameter acquisition module and the lifting mechanism early warning module and is used for displaying various parameter information and data analysis results acquired by the parameter acquisition module;
and the storage module is connected with the lifting mechanism protection module and is used for storing relevant parameter information.
Further, the parameter acquisition module is provided with a speed sensor, a weight sensor, a people number monitor and a voltage and current sensor;
the speed sensor is used for monitoring the lifting speed of the lifter in real time;
the weight sensor is used for monitoring the lifting weight of the elevator in real time;
the number monitor is used for monitoring the number of people lifted by the lifter in real time;
and the voltage and current sensor is used for acquiring the voltage and current information of the running of the speed reducer.
Further, the lifting mechanism protection module adopts a self-adaptive filtering algorithm, which specifically comprises the following steps:
(1) Cover _ T = (Cover _ T + Accer _ T) beta + m the formula predicts the deviation condition of data, wherein beta and m are empirical parameters, the value of beta is between 1 and 1.5, and the value of m is between 0 and 0.15;
(2) mar = data _ rcv-data _ chg, and the formula is used for calculating the difference value between newly acquired data and the inferred data and judging the stability of the data;
(3) R = R/[ (Cover _ T + n) α + p ], which is used to calculate the error due to the working environment, where α, n, p are all empirical parameters; wherein the value of alpha is between 0.9 and 1.2, and can be 1 generally; the value of n is between 0.00001 and 0.0006; the value of p is between 0 and 0.03; the three parameters are all related to the reinforcing degree of the standard knot, the height of the standard knot structure, the service life of the elevator and the aging degree;
(4) data _ chg = (data _ chg + R ×) 1+ λ + q, and the inferred data is updated according to the acquired data and used for optimizing the measurement model; wherein, the value of lambda is between 0 and 0.125, the value of q is between 0.001 and 0.003, which is an empirical parameter.
Further, the data analysis method of the lifting mechanism early warning module comprises the following steps:
(1) Calculating the real-time total power of the speed reducer, wherein the real-time total power is calculated by a formula of P = UI,
u is the working voltage of the speed reducer, and I is the working current of the speed reducer;
(2) Calculating the useful power of the elevator installation by estimating the useful power of the elevator installation
P 1 ＝v*[mg(1+α) β +q]；
Wherein m is the weight of the goods, g is the gravity acceleration, and the value is generally 9.8N/kg; v is the lifting/falling speed of the cage, and alpha, beta and q are empirical parameters related to the weight of goods/people in the cage, the aging degree of the elevator and the lifting speed of the cage; the value of (a) is between 0 and 0.1, the value of (b) is between 0.95 and 1.1, and the value of q is between 0 and 137; finally, judging the running state of the speed reducer according to the ratio of p to p1, and if p/p1 is greater than 1 and less than 1.03, considering that the equipment runs normally; if the p/p1 is more than 1.03 and less than 1.2, the self loss of the elevator equipment is considered to be overlarge, the maintenance is required, and a control command is sent to the control module to control the corresponding module;
(3) And judging whether the height, the lifting speed, the lifting weight and the number of people of the elevator exceed set thresholds, and if so, sending a control command to the control module to control the corresponding module.
Further, the operation module specifically includes:
the system comprises a maintenance module, an alarm module and a start-stop module;
the maintenance module is used for maintaining the speed reducer fault when the lifting mechanism early warning module judges the speed reducer fault;
the alarm module is used for carrying out voice prompt alarm when the lifting mechanism early warning module judges that overload and overload exist or the speed is too high;
and the start-stop module is used for controlling the lifting and stopping of the lifter.
Furthermore, the display module is an LED display screen.
Another object of the present invention is to provide a lift runaway prevention control terminal for implementing the system for preventing lift runaway.
Another object of the present invention is to provide a method for preventing a runaway lift, which applies the system for preventing a runaway lift, and the method for preventing a runaway lift specifically includes:
the method comprises the following steps: the parameter acquisition module acquires parameter information required by the lift system for preventing the lift from being out of control through various sensors and monitors;
step two: the lifting mechanism protection module removes error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the collection time + the collection data + the check value are transmitted to a lifting mechanism early warning module; the lifting mechanism early warning module is used for analyzing and judging data of various parameter information acquired by the parameter acquisition module and converting control information into a control instruction through the control module to control the operation module;
step three: the display module displays various parameter information and data analysis results acquired by the parameter acquisition module; the storage module stores relevant parameter information.
Another object of the present invention is to provide an apparatus for preventing a lift runaway, which is characterized in that the apparatus for preventing a lift runaway comprises a memory and a processor, the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute a method for preventing a lift runaway.
It is a further object of the invention to provide a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out a method for preventing a runaway in a hoist.
In combination with the technical solutions and the technical problems to be solved, please analyze the advantages and positive effects of the technical solutions to be protected in the present invention from the following aspects:
first, aiming at the technical problems existing in the prior art and the difficulty in solving the problems, the technical problems to be solved by the technical scheme of the present invention are closely combined with results, data and the like in the research and development process, and some creative technical effects are brought after the problems are solved. The specific description is as follows:
the invention greatly improves the use management force of the construction elevator and avoids the violation phenomena of overload, over-staff, over-high speed and the like. And the working state of the elevator is checked in real time, and the running state of the speed reducer is automatically judged, so that the safety of the construction elevator is ensured.
Secondly, considering the technical scheme as a whole or from the perspective of products, the technical effect and advantages of the technical scheme to be protected by the invention are specifically described as follows:
the intelligent management of the elevator is realized, the fault early warning is realized in real time, the operation is simple, various operation parameters of the elevator and the operation condition of the speed reducer are monitored in real time, and the intelligent and informatization level in the use of the elevator is improved.
The invention regulates and controls the abnormal operation data of the operation module as follows: setting an operation track, and training an AlexNet-Gra network by using the divided training sets; verifying whether the AlexNet-Gra network achieves the expected effect or not by using a test set; if not, modifying the operation track and training again; if the trained network achieves the expected effect, inputting verification set data, reconstructing an optimization function, and obtaining a normal operation track; the modifying the operation track comprises: selecting an optimization function, and optimizing the weight and the deviation needing to be updated in the network; and a good intelligent control effect is obtained.
The invention provides a system for preventing lifting from being out of control, which realizes intelligent control through 3 aspects:
the original PLC program is optimized, and a protection program when the lifting is out of control is added;
energy consumption equipment in the case of out-of-control lifting is additionally arranged, and the voltage threshold value of the direct current bus in the lifting braking process is ensured not to exceed an alarm value;
the electric shovel can be stably stopped in a variable frequency control mode when being out of control by adjusting the parameters of the frequency converter; the electric shovel can be lifted to run stably and can be stopped stably when the fault is out of control finally through the three aspects, and the operation of beginners on the electric shovel is also considered in the invention.
Drawings
FIG. 1 is a schematic diagram of a system for preventing lift runaway according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an operation module provided in an embodiment of the present invention;
FIG. 3 is a flowchart of a method for preventing lift runaway according to an embodiment of the present invention;
in the figure: 1. a parameter acquisition module; 2. a lifting mechanism protection module; 3. a lifting mechanism early warning module; 4. a control module; 5. a display module; 6. an operation module; 7. a storage module; 8. a maintenance module; 9. an alarm module; 10. and a start-stop module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
1. Illustrative embodiments are explained. This section is an explanatory embodiment expanding on the claims so as to fully understand how the present invention is embodied by those skilled in the art.
As shown in fig. 1-3, a system for preventing lift runaway, the system comprising in particular:
the system comprises a parameter acquisition module 1, a lifting mechanism protection module 2, a lifting mechanism early warning module 3, a control module 4, a display module 5, an operation module 6 and a storage module 7;
the parameter acquisition module 1 is used for acquiring parameter information required by the lift for preventing the lift from being out of control through various sensors and monitors;
the lifting mechanism protection module 2 is connected with the parameter acquisition module 1 and is used for removing error data of the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the collection time + the collection data + the check value are transmitted to a lifting mechanism early warning module;
the lifting mechanism early warning module 3 is connected with the lifting mechanism protection module 2 and is used for analyzing and judging various parameter information acquired by the parameter acquisition module 1 and transmitting control information to the control module 4 for operation control;
the control module 4 is connected with the lifting mechanism early warning module 3, and is used for receiving control information sent by the lifting mechanism early warning module 3 and converting the control information into a control instruction to control the operation module 6;
and (3) regulating and controlling abnormal operation data of the operation module as follows: setting an operation track, and training an AlexNet-Gra network by using the divided training sets; verifying whether the AlexNet-Gra network achieves the expected effect or not by using a test set; if not, modifying the operation track, and training again; if the trained network achieves the expected effect, inputting verification set data, reconstructing an optimization function, and obtaining a normal operation track; the modifying the operation track comprises: selecting an optimization function, and optimizing the weight and the deviation needing to be updated in the network; selecting a target function:
wherein L (m, m') represents the degree of model recovery,
which represents the degree of fit of the data,
representing weight attenuation regularization, lambda represents regularization parameters, and n represents the size of a training set; the regularization term does not include a bias value;
the optimization function is as follows:
wherein, theta representsWeights and biases in the network that need to be updated; net (-) convolutional neural network representation from observed data d to predicted density model m pred A mapping between; l is the MSE loss function;
the display module 5 is connected with the parameter acquisition module 1 and the lifting mechanism early warning module 3 and is used for displaying various parameter information and data analysis results acquired by the parameter acquisition module 1;
the operation module 6 is connected with the control module 4 and is used for executing the control instruction of the control module 4 to complete the operation;
and the storage module 7 is connected with the lifting mechanism protection module 2 and is used for storing relevant parameter information.
The lifting mechanism protection module is connected with the parameter acquisition module and is also used for optimizing an original PLC program, increasing a protection program when the rotation is out of control and protecting the lifting mechanism;
the operation module is also used for executing the control instruction of the control module to complete the operation; the device is also used for realizing stable parking under a frequency conversion control mode when the lifting mechanism is out of control by adjusting the parameters of the frequency converter;
the lifting mechanism early warning module is also used for ensuring that the direct current bus voltage threshold value does not exceed an alarm value when the lifting mechanism brakes through the added energy consumption equipment when the rotation is out of control.
The parameter acquisition module 1 is provided with a speed sensor, a weight sensor, a people number monitor and a voltage and current sensor;
the speed sensor is used for monitoring the lifting speed of the lifter in real time;
the weight sensor is used for monitoring the lifting weight of the elevator in real time;
the number monitor is used for monitoring the number of people lifted by the lifter in real time;
and the voltage and current sensor is used for acquiring the voltage and current information of the running of the speed reducer.
The lifting mechanism protection module adopts a self-adaptive filtering algorithm, and specifically comprises the following steps:
(1) Cover _ T = (Cover _ T + Accer _ T) beta + m the formula predicts the deviation condition of data, wherein beta and m are empirical parameters, the value of beta is between 1 and 1.5, and the value of m is between 0 and 0.15;
(2) mar = data _ rcv-data _ chg, and the formula is used for calculating the difference value between newly acquired data and extrapolated data and judging the stability of the data;
(3) R = R/[ (Cover _ T + n) α + p ], which is used to calculate the error due to the working environment, where α, n, p are all empirical parameters; wherein the value of alpha is between 0.9 and 1.2, and can be 1 generally; the value of n is between 0.00001 and 0.0006; the value of p is between 0 and 0.03; the three parameters are all related to the reinforcing degree of the standard knot, the height of the standard knot structure, the service life and the aging degree of the elevator;
(4) data _ chg = (data _ chg + R ×) 1+ λ + q, and the inferred data is updated according to the acquired data and used for optimizing the measurement model; wherein, the value of lambda is between 0 and 0.125, the value of q is between 0.001 and 0.003, which is an empirical parameter.
The data analysis method of the lifting mechanism early warning module 3 is as follows:
(1) Calculating the real-time total power of the speed reducer, wherein the real-time total power is calculated by a formula of P = UI,
u is the working voltage of the speed reducer, and I is the working current of the speed reducer;
(2) Calculating the useful power of the elevator installation by estimating
P 1 ＝v*[mg(1+α) β +q]；
Wherein m is the weight of the goods, g is the acceleration of gravity, and the value is generally 9.8N/kg; v is the lifting/falling speed of the cage, and alpha, beta and q are empirical parameters related to the weight of goods/people in the cage, the aging degree of the elevator and the lifting speed of the cage; the value of (a) is between 0 and 0.1, the value of (b) is between 0.95 and 1.1, and the value of q is between 0 and 137; finally, judging the running state of the speed reducer according to the ratio of p to p1, and if p/p1 is greater than 1 and less than 1.03, considering that the equipment runs normally; if the p/p1 is more than 1.03 and less than 1.2, the self loss of the elevator equipment is considered to be overlarge, the maintenance is needed, and a control command is sent to the control module to control the corresponding module;
(3) And judging whether the height, the lifting speed, the lifting weight and the number of people of the elevator exceed set thresholds, and if so, sending a control command to the control module to control the corresponding module.
The operation module 6 specifically includes:
the system comprises a maintenance module 8, an alarm module 9 and a start-stop module 10;
the maintenance module 8 is used for maintaining the speed reducer fault when the lifting mechanism early warning module 3 judges the speed reducer fault;
the alarm module 9 is used for carrying out voice prompt alarm when the lifting mechanism early warning module 3 judges that overload is exceeded or the speed is too high;
the start-stop module 10 is used for controlling the lifting and stopping of the lifter.
Further, the display module 5 is an LED display screen.
2. Application examples. In order to prove the creativity and the technical value of the technical scheme of the invention, the part is the application example of the technical scheme of the claims on specific products or related technologies.
The application embodiment of the invention provides a control terminal for preventing lifting out of control, which realizes the system function for preventing lifting out of control. And executing the following method instructions for preventing lift runaway:
s101: the parameter acquisition module 1 acquires parameter information required by the lift system for preventing the lift from being out of control through various sensors and monitors;
s102: the lifting mechanism protection module 2 removes error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the acquisition time + the acquisition data + the check value are transmitted to a lifting mechanism early warning module; the lifting mechanism early warning module 3 is used for analyzing and judging data of various parameter information acquired by the parameter acquisition module 1, converting control information into a control instruction through the control module 4 and controlling the operation module 6;
s103: the display module 5 displays various parameter information and data analysis results acquired by the parameter acquisition module; the storage module 7 stores relevant parameter information.
The invention provides a method for preventing lift runaway, which is applied to equipment for preventing lift runaway.
The present invention applies a method for preventing a lifting runaway to a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the method for preventing a lifting runaway.
The working principle of the invention is as follows: the parameter acquisition module 1 acquires parameter information required by the lift system for preventing the lift from being out of control through various sensors and monitors; the lifting mechanism protection module 2 removes error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the acquisition time + the acquisition data + the check value are transmitted to a lifting mechanism early warning module; the lifting mechanism early warning module 3 is used for analyzing and judging data of various parameter information acquired by the parameter acquisition module 1, converting control information into a control instruction through the control module 4 and controlling the operation module 6; the display module 5 displays various parameter information and data analysis results acquired by the parameter acquisition module; the storage module 7 stores relevant parameter information.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. It will be appreciated by those skilled in the art that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, for example such code provided on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware) or a data carrier such as an optical or electronic signal carrier. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
Simulation experiments show that:
the intelligent management of the elevator is realized, the fault early warning is realized in real time, the operation is simple, various operation parameters of the elevator and the operation condition of the speed reducer are monitored in real time, and the intelligent and informatization level of the elevator in use is improved.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A system for preventing loss of control of a lift, the system comprising:
the parameter acquisition module is used for acquiring parameter information required by the lift for preventing the lift from being out of control through various sensors and monitors;
the lifting mechanism protection module is connected with the parameter acquisition module and used for optimizing an original PLC program, increasing a protection program when the rotation is out of control and protecting the lifting mechanism; the method is also used for removing error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the acquisition time, the acquired data and the check value are transmitted to a lifting mechanism early warning module;
the operation module is connected with the control module and used for executing the control instruction of the control module to complete the operation; the device is also used for realizing stable parking under a frequency conversion control mode when the lifting mechanism is out of control by adjusting the parameters of the frequency converter;
the lifting mechanism early warning module is connected with the lifting mechanism protection module and ensures that the direct current bus voltage threshold value does not exceed an alarm value when the lifting mechanism brakes through the increased energy consumption equipment when the rotation is out of control;
the device is also used for analyzing and judging data of various parameter information acquired by the parameter acquisition module and transmitting control information to the control module for operation control;
the control module is connected with the lifting mechanism early warning module, receives control information sent by the lifting mechanism early warning module and converts the control information into a control instruction to control the operation module; and (3) regulating and controlling abnormal operation data of the operation module as follows: setting an operation track, and training an AlexNet-Gra network by using the divided training sets; verifying whether the AlexNet-Gra network achieves the expected effect or not by using a test set; if not, modifying the operation track and training again; if the trained network achieves the expected effect, inputting verification set data, reconstructing an optimization function, and obtaining a normal operation track; the modifying the operation track comprises: selecting an optimization function, and optimizing the weight and the deviation which need to be updated in the network; selecting a target function:
wherein L (m, m') represents a degree of model recovery,
which represents the degree of fit of the data,
representing weight attenuation regularization, lambda represents regularization parameters, and n represents the size of a training set; the regularization term does not include a bias value;
the optimization function is as follows:
wherein, Θ represents the weight and deviation to be updated in the network; net (-) convolutional neural network representation from observed data d to predicted density model m pred A mapping between;l is the MSE loss function;
the display module is connected with the parameter acquisition module and the lifting mechanism early warning module and is used for displaying various parameter information and data analysis results acquired by the parameter acquisition module;
and the storage module is connected with the lifting mechanism protection module and is used for storing relevant parameter information.
2. The system for preventing lift runaway of claim 1, wherein the parameter acquisition module is provided with a speed sensor, a weight sensor, a people number monitor, a voltage and current sensor;
the speed sensor is used for monitoring the lifting speed of the lifter in real time;
the weight sensor is used for monitoring the lifting weight of the elevator in real time;
the number monitor is used for monitoring the number of people lifted by the elevator in real time;
and the voltage and current sensor is used for acquiring the voltage and current information of the running of the speed reducer.
3. The system for preventing lift runaway of claim 1, wherein the lift mechanism protection module employs an adaptive filtering algorithm as follows:
(1) Cover _ T = (Cover _ T + Accer _ T) beta + m the formula predicts the deviation condition of data, wherein beta and m are empirical parameters, the value of beta is between 1 and 1.5, and the value of m is between 0 and 0.15;
(2) mar = data _ rcv-data _ chg, and the formula is used for calculating the difference value between newly acquired data and extrapolated data and judging the stability of the data;
(3) R = R/[ (Cover _ T + n) α + p ], which is used to calculate the error due to the working environment, where α, n, p are all empirical parameters; wherein the value of alpha is between 0.9 and 1.2, and can be 1 generally; the value of n is between 0.00001 and 0.0006; the value of p is between 0 and 0.03; the three parameters are all related to the reinforcing degree of the standard knot, the height of the standard knot structure, the service life and the aging degree of the elevator;
(4) data _ chg = (data _ chg + R × mar) 1+ λ + q, updating the inferred data according to the obtained data, and optimizing the measurement model; wherein, the value of lambda is between 0 and 0.125, the value of q is between 0.001 and 0.003, which is an empirical parameter.
4. The system for preventing lift runaway of claim 1, wherein the lift mechanism early warning module data analysis method is as follows:
(1) Calculating the real-time total power of the speed reducer, wherein the real-time total power is calculated by a formula of P = UI,
wherein U is the working voltage of the speed reducer, and I is the working current of the speed reducer;
(2) Calculating the useful power of the elevator installation by estimating
P 1 ＝v*[mg(1+α) β +q]；
Wherein m is the weight of the goods, g is the acceleration of gravity, and the value is generally 9.8N/kg; v is the lifting/falling speed of the cage, and alpha, beta and q are empirical parameters related to the weight of goods/people in the cage, the aging degree of the lifter and the lifting speed of the cage; the value of (a) is between 0 and 0.1, the value of (b) is between 0.95 and 1.1, and the value of q is between 0 and 137; finally, judging the running state of the speed reducer according to the ratio of p to p1, and if p/p1 is more than 1 and less than 1.03, considering that the equipment runs normally; if the p/p1 is more than 1.03 and less than 1.2, the self loss of the elevator equipment is considered to be overlarge, the maintenance is needed, and a control command is sent to the control module to control the corresponding module;
(3) And judging whether the lifting speed, the lifting weight and the number of people of the elevator exceed set thresholds, and if so, sending a control command to the control module to control the corresponding module.
5. The system for preventing lift runaway of claim 1, wherein the operating module specifically comprises:
the system comprises a maintenance module, an alarm module and a start-stop module;
the maintenance module is used for maintaining the speed reducer fault when the lifting mechanism early warning module judges the speed reducer fault;
the alarm module is used for carrying out voice prompt alarm when the lifting mechanism early warning module judges that overload is exceeded or the speed is too high;
and the start-stop module is used for controlling the lifting and stopping of the lifter.
6. The system for preventing lift runaway of claim 1, wherein the display module is an LED display screen.
7. A control terminal for preventing lift runaway, characterized in that it is adapted to implement the functions of a system for preventing lift runaway as claimed in claims 1-6.
8. A method for preventing a lift runaway using the system for preventing a lift runaway of claims 1-6, characterized in that the method for preventing a lift runaway specifically comprises:
the method comprises the following steps: the parameter acquisition module acquires parameter information required by the lift system for preventing the lift from being out of control through various sensors and monitors;
step two: the lifting mechanism protection module removes error data from the parameter information through a filtering algorithm and a fault-tolerant algorithm, and the data can be in a uniform format: the collection time + the collection data + the check value are transmitted to a lifting mechanism early warning module; the lifting mechanism early warning module is used for analyzing and judging data of various parameter information acquired by the parameter acquisition module and converting control information into a control instruction through the control module to control the operation module;
step three: the display module displays various parameter information and data analysis results acquired by the parameter acquisition module; the storage module stores relevant parameter information.
9. An arrangement for preventing a lifting runaway, characterized in that the arrangement comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the method for preventing a lifting runaway as claimed in claim 7.
10. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the method for preventing lift runaway according to claim 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211121225.3A CN115657469A (en) | 2022-09-15 | 2022-09-15 | System, method, terminal, device and storage medium for preventing lifting from being out of control |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211121225.3A CN115657469A (en) | 2022-09-15 | 2022-09-15 | System, method, terminal, device and storage medium for preventing lifting from being out of control |
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| CN115657469A true CN115657469A (en) | 2023-01-31 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117035432A (en) * | 2023-09-28 | 2023-11-10 | 广州三叠纪元智能科技有限公司 | Safety protection platform lifting judging method and device and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117035432A (en) * | 2023-09-28 | 2023-11-10 | 广州三叠纪元智能科技有限公司 | Safety protection platform lifting judging method and device and electronic equipment |
| CN117035432B (en) * | 2023-09-28 | 2024-01-09 | 广州三叠纪元智能科技有限公司 | Safety protection platform lifting judging method and device and electronic equipment |
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